“Science is to test crazy ideas – Engineering is to put these into Business”
Assoc.Prof.Dr. Andreas HOLZINGER
PhD, MSc, MPh, BEng, CEng, DipEd, MBCS
Holzinger Group, Research Unit HCI-KDD
Institute for Medical Informatics, Statistics & Documentation
Medical University Graz, and
Institute for Information Systems & Computer Media
Graz University of Technology
The goal of the Holzinger Group is to design and develop algorithms which can learn from data and improve with experience over time. However, the application of such automatic machine learning (aML) approaches in the complex health domain seems elusive in the near future, and a good example are Gaussian processes, where aML (e.g. standard kernel machines) struggle on function extrapolation problems which are trivial for human learners.
Consequently, interactive ML-approaches, by integrating a human-into-the-loop and making use of human cognitive abilities, seem to be a promising approach. iML-approaches can be of particular interest to solve problems in health informatics, where we are lacking big data sets, deal with complex data and/or rare events, where traditional learning algorithms suffer due to insufficient training samples.
Here the “doctor-in-the-loop” can help, where human expertise and long-term experience can assist in solving problems which otherwise would remain NP-hard. Successful ML for health informatics requires a deep understanding of the data ecosystem and a concerted effort of 7 research topics: 1) data integration, 2) learning algorithms, 3) graphs, 4) topology, 5) entropy, 6) visualization, and 7) privacy, data protection, safety and security.
Consequently, Andreas and his Group work on a synergistic combination of methodologies of two areas that offer ideal conditions towards unraveling such problems: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human intelligence with machine learning to discover novel, previously unknown insights into data. Andreas is passionate on extending advanced methods including time (e.g. information entropy) and space (e.g. computational topology), along with user-centered software engineering to create interactive algorithms and tools for data science. Andreas is founder of the Expert Network HCI-KDD and Assoc. Editor of Knowledge and Information Systems (KAIS) and Brain Informatics (BRIN), and member of IFIP WG 12.9 Computational Intelligence.
Workareas and Research Topics of the Holzinger Group > hci-kdd.org.
We are conducting theoretical, algorithmical, and experimental studies to understand intelligence.
Technical Area: Knowledge Discovery/Data Mining, interactive Machine Learning, Cognitive computing
Application Area: Biomedical Informatics, Smart Health, Personalized Medicine
Subjects (OESTAT classification): 11 = Computational Sciences and 39 = Interdisciplinary Human Medicine
100 words Bio:
Andreas Holzinger is head of the Research Unit HCI-KDD, Institute for Medical Informatics, Medical University Graz, and Associate Professor at Graz University of Technology, where he teaches Biomedical Informatics, and supervises engineering students at the Institute of Information Systems. Andreas holds a PhD (1998) in Cognitive Science from Graz University and a Habilitation (second PhD, 2003) in Computer Science from Graz University of Technology. Andreas was Visiting Professor in Berlin, Innsbruck, Vienna, London and Aachen. Since 2000 he has participated in leading positions in 30+ R&D multi-national projects, budget 4+ MEUR, 300+ publications, 6100+ citations, h-index =35 g-index=132.
Andreas was Visiting Professor of Medical Knowledge Management at the Fresenius Nations Health Career Center, Berlin, Germany (02/03); Visiting Professor at Innsbruck University, Institute for Organization & Learning (winter term 04/05); Visiting Professor at Vienna University of Technology, Institute for Software Technology & Interactive Systems (winter term 05/06); Visiting Professor at Middlesex University London (UK), School of Computing Science (summer term 07); Visiting Professor at the RWTH Aachen University, e-Health Group (winter term 11/12), Visiting Professor at the University College London, CHI+MED (summer term 12), and he is Visiting Professor at Vienna University of Business and Economics, Health Information & Knowledge Management (since winter term 06/07).
Andreas, born 1963, married, two children, started his career as apprentice in IT in 1978, finishing as Radio Technician (1981); Foreman in Industrial Electronics (1983); College of Further Education Bournemouth (UK) with honors in Computer Science (1985/86); After extensive industrial experience, during which he attended evening classes, he was awarded Chartered Engineer for IT (CEng, 1990); Diploma as Lecturer for Adult Education (DipEd, 1991); Studies of Communication and Information Engineering (BEng, 1993), Physics and Psychology (MSc, 1995) as well as Media Education and Sociology (MPh, 1996) at Graz University of Technology and Graz University. Doctoral promotion with summa cum laude in Cognitive Science (PhD, 1998). Second PhD (Habilitation, venia docendi) in Applied Computer Science, Graz University of Technology (Assoc. Prof., 2003).
Andreas serves as consultant for the Canadian, Swiss, French and Dutch Government, as expert for the German Excellence Initiative, and national expert in the European Commission (EC), Lisbon Delegate “eEurope: an Knowledge society for all”. He serves as Industrial Consultant, is member of the European Research Consortium in Informatics and Mathematics (ERCIM), and professional member of the Association of Computing Machinery (ACM), IEEE, GI, the German Society of Psychology (DGP) and board member of the Austrian Computer Society (OCG). He directed numerous successful R&D projects and organized national and international conferences. He serves as reviewer and in the board of numerous reputed Journals and international conferences and is evaluator for both national and international organizations.